DeepSeek V4.1-Flash vs GPT-6 Astra
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare DeepSeek V4.1-Flash by DeepSeek against GPT-6 Astra by OpenAI across real-world coding, reasoning, token economics, and latency.
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DeepSeek V4.1-Flash
Açık Ağırlıklı ModelDeepSeek tarafından geliştirilen DeepSeek V4.1-Flash, 1M token bağlam penceresi ve 1M girdi başına $0.3, 1M çıktı başına $1.2 API fiyatlandırmasıyla yazılım geliştirme, analiz ve kurumsal otomasyon için tasarlanmıştır.
$0.30 / 1M
$1.20 / 1M
1M tokens
74.2%
GPT-6 Astra
Derin Akıl Yürütme ModeliOpenAI tarafından geliştirilen GPT-6 Astra, 1M token bağlam penceresi ve 1M girdi başına $10.0, 1M çıktı başına $50.0 API fiyatlandırmasıyla yazılım geliştirme, analiz ve kurumsal otomasyon için tasarlanmıştır.
$10.00 / 1M
$50.00 / 1M
272K tokens
82.4%
Bir Bakışta Temel Farklar
- DeepSeek V4.1-Flash is 40.0x cheaper for API usage (input + output tokens combined).
- DeepSeek V4.1-Flash has a larger context window (1M vs 272K tokens).
- DeepSeek V4.1-Flash is faster at 110 tok/s vs 100 tok/s.
- GPT-6 Astra leads on SWE-bench coding (82.4% vs 74.2%).
| Feature | DeepSeek V4.1-Flash | GPT-6 Astra |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 58 | 96 |
Provider | DeepSeek | OpenAI |
Input Price Cost per million input tokens | $0.30 / 1M | $10.00 / 1M |
Output Price Cost per million output tokens | $1.20 / 1M | $50.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.18 / 1M | $7.70 / 1M |
Context Window Maximum input + output tokens | 1M tokens~1,500 A4 pages of text | 272K tokens~408 A4 pages of text |
Max Output Tokens Per single request | 384K | 128K |
Throughput Speed Tokens generated per second | 110 tok/s | 100 tok/s |
SWE-bench Verified Real-world software engineering | 74.2% | 82.4% |
GPQA Diamond Graduate-level reasoning | 90.9% | 80.9% |
Cached Input Price Prompt caching discount per 1M tokens | $0.01 / 1M | $1.00 / 1M |
Hangi Alanda Kim Kazanıyor?
At-a-glance decision frameworkDoğrulanmış Benchmark Puanları
Official evaluation metrics verified by independent third-party research labs.
Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.
Autonomous multi-step tasks executed inside a real command-line terminal environment.
Research-grade coding problems drawn from real scientific and numerical workloads.
Contamination-free competitive programming problems collected continuously over time.
American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.
Accuracy when reasoning over very large inputs that fill the model context window.
Tokens emitted per second during active generation streaming.
Gecikme Süresi ve Yanıt Hızı
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Gerçek Zamanlı Token Maliyet Simülatörü
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
DeepSeek V4.1-Flash · Strengths & Key Advantages
- DeepSeek imzalı gelişmiş Causal Encoder-Decoder (20 enc + 20 dec layers) mimarisi ve 1M token bağlam kapasitesi
- Dengeli API maliyeti ($0.3/1M girdi, $1.2/1M çıktı) ve yüksek yanıt hızı
- Kod üretimi, mantıksal çıkarım ve çok dilli görevlerde güçlü kıyaslama (benchmark) sonuçları
Considerations & Trade-offs
- Çok uzun bağlamlı sorgularda token maliyetlerinin dikkatli yönetilmesi gerekir
- Alan bazlı özel iş akışlarında en yüksek verim için doğru istem (prompt) tasarımı önerilir
GPT-6 Astra · Strengths & Key Advantages
- OpenAI imzalı gelişmiş Omni-Adaptive Autoregressive with Dynamic CoT mimarisi ve 1M token bağlam kapasitesi
- Dengeli API maliyeti ($10.0/1M girdi, $50.0/1M çıktı) ve yüksek yanıt hızı
- Kod üretimi, mantıksal çıkarım ve çok dilli görevlerde güçlü kıyaslama (benchmark) sonuçları
Considerations & Trade-offs
- Çok uzun bağlamlı sorgularda token maliyetlerinin dikkatli yönetilmesi gerekir
- Alan bazlı özel iş akışlarında en yüksek verim için doğru istem (prompt) tasarımı önerilir
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | DeepSeek V4.1-Flash | GPT-6 Astra |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.27 | $2.15 |
Output Tokens / Task Tokens generated per task | 58K | 58K |
Reasoning Tokens / Task Thinking tokens burned per task | 28K | 32K |
Teknik Özellikler
Architecture, release timeline, capabilities, and modalities.
| Feature | DeepSeek V4.1-Flash | GPT-6 Astra |
|---|---|---|
| Official API Model ID (SDK) | deepseek-reasoner | gpt-6-astra |
| API Protocol | OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2026-09 | 2026-09 |
| Knowledge Cutoff | June 2026 | June 2026 |
| Architecture | Causal Encoder-Decoder (20 enc + 20 dec layers) | Omni-Adaptive Autoregressive with Dynamic CoT |
| Parameters | 763B total (8B prefill / 16B decode active) | Confidential |
| Enterprise Rate Limits (RPM / TPM) | Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($0.3/1M in) across full 1000K window | Flat rate ($10/1M in) across full 272K window |
| Prompt Cache Policy & TTL | Automatic prefix caching at $0.006/1M (no extra cache-write fee) | Automatic prefix caching at $1/1M (no extra cache-write fee) |
| Computer Use / GUI Agent | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) | Supported (Screen coordinate grounding, browser & desktop GUI action loops) |
| MCP & Parallel Tool Calling | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema |
| Web Search Grounding & Sandbox | Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools | Native Web Search tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory) | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) |
| Multimodal Token Billing | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) |
| Quantization & Min GPU VRAM | BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 473 GB VRAM (4-bit Quantized) · 1640 GB VRAM (Native BF16) | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) |
| Safety & Frontier Classification | Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma) | OpenAI Preparedness Framework Audited & System Card Published |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | 100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier |
| Input Modalities | text, vision | text, vision, audio |
| Output Modalities | text | text, audio |
DeepSeek V4.1-Flash vs GPT-6 Astra: Hızlı Yanıtlar (SSS)
Which is more intelligent, DeepSeek V4.1-Flash or GPT-6 Astra?
GPT-6 Astra is more intelligent. It scores 96 compared with 58 on the composite Intelligence Index.
Which model is faster?
DeepSeek V4.1-Flash is faster, generating 110 tokens per second compared with 100 tokens per second.
Which model is cheaper to run?
DeepSeek V4.1-Flash is cheaper at $0.18 per 1M tokens blended, compared with $7.70 (7:2:1 cache:input:output ratio).
Which model has lower latency?
DeepSeek V4.1-Flash has lower latency, with a time to first token of 0.46s compared with 0.95s.
Which model has a larger context window?
DeepSeek V4.1-Flash has a larger context window, supporting 1M tokens compared with 272K tokens.
Sonuç
Choose DeepSeek V4.1-Flash for kurumsal otomasyon, yazılım mühendisliği, otonom yz ajanları ve deepseek tabanlı üretim sistemleri, or choose GPT-6 Astra for kurumsal otomasyon, yazılım mühendisliği, otonom yz ajanları ve openai tabanlı üretim sistemleri.
Sıkça Sorulan Sorular (SSS)
Which is cheaper: DeepSeek V4.1-Flash or GPT-6 Astra?+
DeepSeek V4.1-Flash costs $0.3/1M input and $1.2/1M output tokens, while GPT-6 Astra costs $10/1M input and $50/1M output tokens.
Which model has a larger context window: DeepSeek V4.1-Flash or GPT-6 Astra?+
DeepSeek V4.1-Flash supports 1M tokens whereas GPT-6 Astra supports 272K tokens.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
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Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.
Resmi kaynaklar: DeepSeek & OpenAI Official Documentation